IBM Cognitive Technologies to Help University of Michigan Power its Race Car During World Solar Challenge

Date added: 2015-10-01

University of Michigan students work on their solar car in preparation for the 2015 World Solar Challenge. They are collaborating with IBM to use cognitive solar forecasting technology to predict solar radiation and cloud movement during the race. (Credit: IBM)

Siyuan Lu (left) and Hendrik Hamann (right) are members of the Physical Analytics team at IBM Research working on improving the accuracy of solar forecasting by using machine learning and Big Data analytics. (Jon Simon/Feature Photo Service for IBM)

Scientists at Tsinghua University in China use IBM's World Community Grid to discover the conditions necessary for moving water through carbon nanotubes 300% faster without requiring additional energy. The discovery has implications for more efficient water filtration. Scientists used massive computing power from volunteers to create simulations of water flow at the molecular level with astonishing detail. (Credit: Tsinghua University)